Articles | Volume 10, issue 6
https://doi.org/10.5194/gmd-10-2495-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2495-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
30 Jun 2017
Development and technical paper |
| 30 Jun 2017
Synthesizing long-term sea level rise projections – the MAGICC sea level model v2.0
Alexander Nauels
CORRESPONDING AUTHOR
Australian-German Climate and Energy College, The University of Melbourne, Parkville 3010, Victoria, Australia
Department of Earth Sciences, The University of Melbourne, Parkville 3010, Victoria, Australia
Malte Meinshausen
Australian-German Climate and Energy College, The University of Melbourne, Parkville 3010, Victoria, Australia
Department of Earth Sciences, The University of Melbourne, Parkville 3010, Victoria, Australia
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg, 14473 Potsdam, Germany
Matthias Mengel
Potsdam Institute for Climate Impact Research (PIK), Telegrafenberg, 14473 Potsdam, Germany
Katja Lorbacher
Australian-German Climate and Energy College, The University of Melbourne, Parkville 3010, Victoria, Australia
Tom M. L. Wigley
The Environment Institute and School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO 80307-3000, USA
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Latest update: 29 Jun 2024
Short summary
The MAGICC sea level model projects global sea level rise by emulating process-based estimates for all major sea level drivers and applying them to available climate scenarios and their extensions to 2300. The MAGICC sea level projections are well within the ranges of the fifth IPCC assessment report. Due to its efficient structure, this emulator is a powerful tool for exploring sea level uncertainties and investigating sea level responses for a wide range of climate mitigation pathways.
The MAGICC sea level model projects global sea level rise by emulating process-based estimates...
